Jet M.J. Vonk, Brittany T. Morin, Janhavi Pillai, David Rosado Rolon, Rian Bogley, David Paul Baquirin, Zoe Ezzes, Boon Lead Tee, Jessica DeLeon, Lisa Wauters, Sladjana Lukic, Maxime Montembeault, Kyan Younes, Zachary Miller, Adolfo M. García, Maria Luisa Mandelli, Virginia E. Sturm, Bruce L. Miller, Maria Luisa Gorno-Tempini
{"title":"Digital language markers distinguish frontal from right anterior temporal lobe atrophy in frontotemporal dementia","authors":"Jet M.J. Vonk, Brittany T. Morin, Janhavi Pillai, David Rosado Rolon, Rian Bogley, David Paul Baquirin, Zoe Ezzes, Boon Lead Tee, Jessica DeLeon, Lisa Wauters, Sladjana Lukic, Maxime Montembeault, Kyan Younes, Zachary Miller, Adolfo M. García, Maria Luisa Mandelli, Virginia E. Sturm, Bruce L. Miller, Maria Luisa Gorno-Tempini","doi":"10.1101/2024.08.29.24312807","DOIUrl":null,"url":null,"abstract":"<strong>Background and Objectives</strong> Within frontotemporal dementia (FTD), the behavioral variant (bvFTD) characterized by frontal atrophy, and semantic behavioral variant (sbvFTD) characterized by right anterior temporal lobe (rATL) atrophy, present diagnostic challenges due to overlapping symptoms and neuroanatomy. Accurate differentiation is crucial for clinical trial inclusion targeting TDP-43 proteinopathies. This study investigated whether automated speech analysis can distinguish between FTD-related rATL and frontal atrophy, potentially offering a non-invasive diagnostic tool.","PeriodicalId":501367,"journal":{"name":"medRxiv - Neurology","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.29.24312807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background and Objectives Within frontotemporal dementia (FTD), the behavioral variant (bvFTD) characterized by frontal atrophy, and semantic behavioral variant (sbvFTD) characterized by right anterior temporal lobe (rATL) atrophy, present diagnostic challenges due to overlapping symptoms and neuroanatomy. Accurate differentiation is crucial for clinical trial inclusion targeting TDP-43 proteinopathies. This study investigated whether automated speech analysis can distinguish between FTD-related rATL and frontal atrophy, potentially offering a non-invasive diagnostic tool.
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